An Online Framework for Fitting Fast Transient Lightcurves
Tyler Barna, Brandon Reed, Igor Andreoni, Michael W. Coughlin, Tim Dietrich, Steven L. Groom, Theophile Jegou du Laz, Peter T.H Pang, Josiah N. Purdum, Ben Rusholme

TL;DR
This paper introduces an online framework for rapidly fitting and identifying fast transient lightcurves, enabling efficient follow-up of potential multi-messenger sources in time-domain astronomy.
Contribution
It presents a new computational pipeline that quickly fits transient lightcurves to various models, improving the speed and accuracy of transient classification.
Findings
Successfully applied to real transient events including a short gamma-ray burst and a supernova.
Demonstrated the pipeline's efficiency in processing and flagging interesting transients for follow-up.
Provided performance metrics and workflow details for the proposed framework.
Abstract
The identification of extragalactic fast optical transients (eFOTs) as potential multi-messenger sources is one of the main challenges in time-domain astronomy. However, recent developments have allowed for probes of rapidly-evolving transients. With the increasing number of alert streams from optical time-domain surveys, the next paradigm is building technologies to rapidly identify the most interesting transients for follow-up. One effort to make this possible is the fitting of objects to a variety of eFOT lightcurve models such as kilonovae and -ray burst (GRB) afterglows. In this work, we describe a new framework designed to efficiently fit transients to light curve models and flag them for further follow-up. We describe the pipeline's workflow and a handful of performance metrics, including the nominal sampling time for each model. We highlight as examples ZTF20abwysqy, the…
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Taxonomy
TopicsCCD and CMOS Imaging Sensors · Spectroscopy and Laser Applications
